Faculty
Department
Year of Publication
Publication Type
Abstract
This project presents the design and implementation of an Internet of Things (IoT) based water quality monitoring system that enables real-time assessment of key water parameters using low-cost sensors and microcontroller technology. The system employs an ESP32 microcontroller integrated with pH, turbidity, Total Dissolved Solids (TDS), and temperature sensors to measure the chemical and physical characteristics of water. The sensed data are processed, displayed locally on a 20×4 Liquid Crystal Display (LCD), and transmitted wirelessly to a custom web interface for remote visualization and storage.The proposed system addresses the limitations of traditional laboratory-based water testing methods, which are typically expensive, time-consuming, and prone to human error. By leveraging IoT connectivity, the system provides continuous, accurate, and cost-effective monitoring of water quality, suitable for domestic, educational, and small-scale environmental applications. Experimental results show that the developed prototype effectively measures and reports water parameters with acceptable precision and reliability.Overall, the system demonstrates a practical approach to automating water quality analysis, promoting accessibility, sustainability, and public health through real-time digital monitoring.
Supervisor(s)
co-supervisor


